Papers
8
Total Citations
46
H-Index
4
About
Yutaka Miyaji is a pioneering researcher in human-robot interaction, specializing in affective robotics and the integration of *Kansei*—the Japanese concept of emotion, sensitivity, and affective behavior—into robotic systems. His major contributions lie in developing “Virtual KANSEI” (VK) engines that enable robots, particularly caregiver support robots, to generate, express, and respond to human-like emotions. Notably, his 2009 work introduced a Hidden Markov Model (HMM)-based Kansei generator, allowing nondeterministic, time-series emotion transitions that make robot interactions more natural and empathetic. His most cited paper (2013, 19 citations) explores the “kawaii-ness” (cuteness) in Roomba motion, linking physical properties of movement to emotional perception—a study that bridges robotics, design, and psychology. Miyaji’s research also includes head posture-invariant facial expression detection and emotional influence of robot shapes, all aimed at improving care-worker support robots. Though his citation counts are modest, his work is foundational in affective computing for welfare robotics, demonstrating how robots can become emotionally aware companions. His integrated Virtual KANSEI system remains a key reference for researchers building empathetic, socially assistive robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Virtual KANSEI for Robots in Welfare6 citations · 2007
- 4
- 5Construction and Evaluation of a Virtual KANEI System for Robots2 citations · 2010
- 6
- 7Development of a Test Bed Care-Worker Support Robot2 citations · 2004
- 8A Study on Emotional Influence of Shapes of Care-Worker Support Robot2 citations · 2003